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Record W4405433578 · doi:10.1016/j.tate.2024.104909

Embodied knowing: Toward a teacher education pedagogy of relational witnessing

2024· article· en· W4405433578 on OpenAlexaff
Johanna del Carmen Romero Jiménez, Mistilina Sato, Jake Knaus, Amanda Shopa, Margaret Smith-Peterson

Bibliographic record

VenueTeaching and Teacher Education · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicTeacher Education and Leadership Studies
Canadian institutionsSaint Paul University
Fundersnot available
KeywordsEmbodied cognitionPedagogyTeacher preparationTeacher educationPsychologyMathematics educationSociologyEpistemologyPhilosophy

Abstract

fetched live from OpenAlex

This paper introduces a model for teacher education that gives shape and meaning to witnessing one's own reactions to and development of equity-based teaching. Data from a school-based teacher inquiry group provide two illustrations of how the model, based on a conceptual framework from feminist ethics, can be used to guide relational witnessing for teachers who are striving toward equity-based practice. We conclude with recommendations for understanding and mobilizing embodied encounters in teacher education toward a pedagogy of relational witnessing for teacher education with a focus on bringing dysconscious assumptions to the surface through the use of dispositional language. • Relational witnessing pedagogical model based in feminist theory. • Embodied knowledge represented as emotional, positional, normative, and structural. • Suggests a pedagogy for teacher education striving for equity-based teaching. • Dispositions for teaching featured as necessary language for relational witnessing. • Relational witnessing includes bringing dysconscious assumptions to the surface.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.442
Threshold uncertainty score0.790

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.118
GPT teacher head0.437
Teacher spread0.319 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations6
Published2024
Admission routes1
Has abstractyes

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